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Coplanarity

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Since three or fewer points are always coplanar, the problem of determining when a set of points are coplanar is generally of interest only when there are at least four points involved. In the case that there are exactly four points, several
428: 1432:{\displaystyle {\begin{bmatrix}x_{1}-w_{1}&x_{2}-w_{2}&\dots &x_{n}-w_{n}\\y_{1}-w_{1}&y_{2}-w_{2}&\dots &y_{n}-w_{n}\\z_{1}-w_{1}&z_{2}-w_{2}&\dots &z_{n}-w_{n}\\\end{bmatrix}}} 733: 882: 1148:{\displaystyle {\begin{aligned}X&=(x_{1},x_{2},\dots ,x_{n}),\\Y&=(y_{1},y_{2},\dots ,y_{n}),\\Z&=(z_{1},z_{2},\dots ,z_{n}),\\W&=(w_{1},w_{2},\dots ,w_{n}),\end{aligned}}} 380: 252: 564: 738: 633:
methods can be employed, but a general method that works for any number of points uses vector methods and the property that a plane is determined by two
525:{\displaystyle (\mathbf {c} \cdot \mathbf {\hat {a}} )\mathbf {\hat {a}} +(\mathbf {c} \cdot \mathbf {\hat {b}} )\mathbf {\hat {b}} =\mathbf {c} ,} 68:
provides a solution technique for the problem of determining whether a set of points is coplanar, knowing only the distances between them.
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are coplanar if and only if the matrix of their relative differences, that is, the matrix whose columns (or rows) are the vectors
35:, the plane they determine is unique. However, a set of four or more distinct points will, in general, not lie in a single plane. 92:
to this cross product through the initial point will lie in the plane. This leads to the following coplanarity test using a
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In the special case of a plane that contains the origin, the property can be simplified in the following way: A set of
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in three-dimensional space are coplanar if there is a plane that includes them both. This occurs if the lines are
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that contains them all. For example, three points are always coplanar, and if the points are distinct and
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are not coplanar. Such a polygon must have at least four vertices; there are no skew triangles.
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points and the origin are coplanar if and only if the matrix of the coordinates of the
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vectors with the same initial point determine a plane through that point. Their
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each other. Two lines that are not coplanar are called
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Geometric property of objects being in the same plane
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is of rank 2 or less, the four points are coplanar.
728:{\displaystyle \{p_{0},\ p_{1},\ \dots ,\ p_{k-1}\}} 1519: 1431: 1147: 856: 727: 558: 524: 374: 246: 1553: 550: 505: 490: 464: 449: 71: 1574: 722: 662: 1517: 1484:has vertices that are not all coplanar. 37: 1575: 624:dimensions whose coordinates are given 375:{\displaystyle (x_{2}-x_{1})\cdot =0.} 247:{\displaystyle \cdot (x_{3}-x_{1})=0.} 1554: 88:vector to that plane, and any vector 1456: 559:{\displaystyle \mathbf {\hat {a}} } 13: 14: 1594: 1547: 547: 515: 502: 487: 477: 461: 446: 436: 76:In three-dimensional space, two 1522:Calculus with Analytic Geometry 871:For example, given four points 129:, are coplanar if and only if, 23:, a set of points in space are 1511: 1135: 1090: 1070: 1025: 1005: 960: 940: 895: 496: 473: 455: 432: 363: 360: 334: 328: 302: 299: 293: 267: 235: 209: 203: 200: 174: 168: 142: 139: 72:Properties in three dimensions 1: 1504: 1453:points is of rank 2 or less. 42:An example of coplanar points 635:linearly independent vectors 257:which is also equivalent to 27:if there exists a geometric 7: 1518:Swokowski, Earl W. (1983), 1487: 10: 1599: 644:-dimensional space where 620:Coplanarity of points in 610:add to give the original 1433: 1149: 858: 729: 560: 526: 399:are coplanar, then if 376: 248: 99:Four distinct points, 43: 1434: 1150: 859: 730: 561: 527: 422:are orthogonal) then 377: 249: 94:scalar triple product 41: 1168: 878: 739: 659: 541: 429: 264: 136: 78:linearly independent 1556:Weisstein, Eric W. 1499:Plane of incidence 1480:that has positive 1429: 1423: 1145: 1143: 725: 584:vector projections 556: 522: 372: 244: 44: 1583:Planes (geometry) 853: 819: 810: 803: 775: 768: 705: 696: 680: 553: 508: 493: 467: 452: 385:If three vectors 66:Distance geometry 1590: 1569: 1568: 1541: 1540: 1525: 1515: 1457:Geometric shapes 1452: 1448: 1438: 1436: 1435: 1430: 1428: 1427: 1420: 1419: 1407: 1406: 1390: 1389: 1377: 1376: 1365: 1364: 1352: 1351: 1338: 1337: 1325: 1324: 1308: 1307: 1295: 1294: 1283: 1282: 1270: 1269: 1256: 1255: 1243: 1242: 1226: 1225: 1213: 1212: 1201: 1200: 1188: 1187: 1154: 1152: 1151: 1146: 1144: 1134: 1133: 1115: 1114: 1102: 1101: 1069: 1068: 1050: 1049: 1037: 1036: 1004: 1003: 985: 984: 972: 971: 939: 938: 920: 919: 907: 906: 863: 861: 860: 855: 854: 849: 848: 847: 832: 831: 821: 817: 808: 804: 799: 798: 797: 788: 787: 777: 773: 769: 764: 763: 762: 753: 752: 742: 734: 732: 731: 726: 721: 720: 703: 694: 690: 689: 678: 674: 673: 654: 650: 643: 615: 609: 603: 597: 591: 581: 567: 565: 563: 562: 557: 555: 554: 546: 531: 529: 528: 523: 518: 510: 509: 501: 495: 494: 486: 480: 469: 468: 460: 454: 453: 445: 439: 421: 415: 409: 398: 381: 379: 378: 373: 359: 358: 346: 345: 327: 326: 314: 313: 292: 291: 279: 278: 253: 251: 250: 245: 234: 233: 221: 220: 199: 198: 186: 185: 167: 166: 154: 153: 128: 1598: 1597: 1593: 1592: 1591: 1589: 1588: 1587: 1573: 1572: 1550: 1545: 1544: 1538: 1516: 1512: 1507: 1490: 1459: 1450: 1446: 1422: 1421: 1415: 1411: 1402: 1398: 1396: 1391: 1385: 1381: 1372: 1368: 1366: 1360: 1356: 1347: 1343: 1340: 1339: 1333: 1329: 1320: 1316: 1314: 1309: 1303: 1299: 1290: 1286: 1284: 1278: 1274: 1265: 1261: 1258: 1257: 1251: 1247: 1238: 1234: 1232: 1227: 1221: 1217: 1208: 1204: 1202: 1196: 1192: 1183: 1179: 1172: 1171: 1169: 1166: 1165: 1142: 1141: 1129: 1125: 1110: 1106: 1097: 1093: 1083: 1077: 1076: 1064: 1060: 1045: 1041: 1032: 1028: 1018: 1012: 1011: 999: 995: 980: 976: 967: 963: 953: 947: 946: 934: 930: 915: 911: 902: 898: 888: 881: 879: 876: 875: 837: 833: 827: 823: 822: 820: 793: 789: 783: 779: 778: 776: 758: 754: 748: 744: 743: 741: 740: 737: 736: 710: 706: 685: 681: 669: 665: 660: 657: 656: 652: 645: 641: 626: 611: 605: 599: 593: 587: 582:. 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638: 636: 632: 623: 617: 614: 608: 602: 596: 590: 585: 580: 575: 571: 519: 511: 481: 470: 440: 425: 424: 423: 420: 414: 407: 403: 397: 393: 389: 369: 366: 355: 351: 347: 342: 338: 331: 323: 319: 315: 310: 306: 296: 288: 284: 280: 275: 271: 260: 259: 258: 241: 238: 230: 226: 222: 217: 213: 206: 195: 191: 187: 182: 178: 171: 163: 159: 155: 150: 146: 132: 131: 130: 124: 117: 110: 103: 97: 95: 91: 87: 83: 82:cross product 79: 69: 67: 63: 61: 57: 54:, or if they 53: 49: 40: 36: 34: 33:non-collinear 30: 26: 22: 1562: 1521: 1513: 1494:Collinearity 1475: 1463:skew polygon 1460: 1444: 1441: 1157: 870: 868:2 or less. 646: 639: 630: 627: 621: 612: 606: 600: 594: 588: 578: 568:denotes the 534: 418: 412: 405: 401: 395: 391: 387: 384: 256: 122: 115: 108: 101: 98: 75: 64: 45: 24: 18: 651:, a set of 570:unit vector 1559:"Coplanar" 1505:References 1478:polyhedron 90:orthogonal 60:skew lines 1564:MathWorld 1409:− 1394:… 1379:− 1354:− 1327:− 1312:… 1297:− 1272:− 1245:− 1230:… 1215:− 1190:− 1120:… 1055:… 990:… 925:… 851:→ 842:− 812:… 801:→ 766:→ 715:− 698:… 574:direction 551:^ 506:^ 491:^ 482:⋅ 465:^ 450:^ 441:⋅ 348:− 332:× 316:− 297:⋅ 281:− 223:− 207:⋅ 188:− 172:× 156:− 56:intersect 1577:Category 1488:See also 1471:vertices 52:parallel 25:coplanar 21:geometry 1467:polygon 1158:if the 655:points 572:in the 566:⁠ 537:⁠ 410:(i.e., 1534:  1482:volume 1469:whose 1160:matrix 864:is of 818:  809:  774:  704:  695:  679:  640:In an 631:ad hoc 535:where 86:normal 1465:is a 84:is a 48:lines 29:plane 1532:ISBN 866:rank 598:and 416:and 46:Two 1528:647 649:≥ 3 604:on 592:on 586:of 576:of 408:= 0 19:In 1579:: 1561:. 1530:, 1476:A 1461:A 637:. 616:. 404:⋅ 394:, 390:, 370:0. 242:0. 121:, 114:, 107:, 96:: 62:. 1567:. 1451:k 1447:k 1425:] 1417:n 1413:w 1404:n 1400:z 1387:2 1383:w 1374:2 1370:z 1362:1 1358:w 1349:1 1345:z 1335:n 1331:w 1322:n 1318:y 1305:2 1301:w 1292:2 1288:y 1280:1 1276:w 1267:1 1263:y 1253:n 1249:w 1240:n 1236:x 1223:2 1219:w 1210:2 1206:x 1198:1 1194:w 1185:1 1181:x 1174:[ 1139:, 1136:) 1131:n 1127:w 1123:, 1117:, 1112:2 1108:w 1104:, 1099:1 1095:w 1091:( 1088:= 1081:W 1074:, 1071:) 1066:n 1062:z 1058:, 1052:, 1047:2 1043:z 1039:, 1034:1 1030:z 1026:( 1023:= 1016:Z 1009:, 1006:) 1001:n 997:y 993:, 987:, 982:2 978:y 974:, 969:1 965:y 961:( 958:= 951:Y 944:, 941:) 936:n 932:x 928:, 922:, 917:2 913:x 909:, 904:1 900:x 896:( 893:= 886:X 845:1 839:k 835:p 829:0 825:p 815:, 806:, 795:2 791:p 785:0 781:p 771:, 760:1 756:p 750:0 746:p 723:} 718:1 712:k 708:p 701:, 692:, 687:1 683:p 676:, 671:0 667:p 663:{ 653:k 647:n 642:n 622:n 613:c 607:b 601:c 595:a 589:c 579:a 548:a 520:, 516:c 512:= 503:b 497:) 488:b 478:c 474:( 471:+ 462:a 456:) 447:a 437:c 433:( 419:b 413:a 406:b 402:a 396:c 392:b 388:a 367:= 364:] 361:) 356:1 352:x 343:3 339:x 335:( 329:) 324:1 320:x 311:4 307:x 303:( 300:[ 294:) 289:1 285:x 276:2 272:x 268:( 239:= 236:) 231:1 227:x 218:3 214:x 210:( 204:] 201:) 196:1 192:x 183:4 179:x 175:( 169:) 164:1 160:x 151:2 147:x 143:( 140:[ 126:4 123:x 119:3 116:x 112:2 109:x 105:1 102:x

Index

geometry
plane
non-collinear

lines
parallel
intersect
skew lines
Distance geometry
linearly independent
cross product
normal
orthogonal
scalar triple product
unit vector
direction
vector projections
linearly independent vectors
rank
matrix
skew polygon
polygon
vertices
polyhedron
volume
Collinearity
Plane of incidence
Calculus with Analytic Geometry
647
ISBN

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